Every year I travel the world as part of my job to discover, discuss and share the future with people from all walks of life. And what I found is this: the future is likely to be better than we think – but we need to design and govern it wisely! Just two decades in, the twenty-first century has already presented us with a massive economic crash, geopolitical quagmires and worrisome swings towards popularism. This may not be the optimal context for heralding a New Renaissance - but then again, the original renaissance wasn't born in idyllic circumstances either. Rather, it was a literal rebirth of human culture.
One of the most common potential scenarios involving autonomous cars is using them as driverless taxis; both Uber and Lyft have made self-driving cars a big part of their future strategies. The possibility of hopping into a ride without a driver just got a little closer, at least in California -- as spotted by The Verge, California approved two new autonomous driving programs last week that let companies charge fares for autonomous rides. The two new programs are the "Drivered Autonomous Vehicle Deployment Program" and the "Driverless Autonomous Vehicle Deployment Program," both of which allow approved participants to offer "passenger service, shared rides, and accept monetary compensation for rides in autonomous vehicles." Naturally, interested companies need to get the necessary permits and show the California Public Utilities Commission (CPUC) that they're taking the proper safety measure. They'll need to get a AV Deployment Permit from California's DMV as well as one of two permits issued by CPUC.
Artificial intelligence (AI) is swiftly fueling the development of a more dynamic world. AI, a subfield of computer science that is interconnected with other disciplines, promises greater efficiency and higher levels of automation and autonomy. Simply put, it is a dual-use technology at the heart of the fourth industrial revolution. Together with machine learning (ML) -- a subfield of AI that analyzes large volumes of data to find patterns via algorithms -- enterprises, organizations, and governments are able to perform impressive feats that ultimately drive innovation and better business. The use of both AI and ML in business is rampant.
Ever since IBM unveiled Cloud Pak for Data as a cloud-native integrated set of analytics and AI platform, we've been wondering when IBM would take the next step and announce a full-blown managed cloud service. It's now starting to happen as IBM is rolling out IBM Cloud Pak for Data as a Service. Roll back the tape to last spring when we reviewed IBM Cloud Satellite; we noted that IBM's primary cloud message has been about multi-cloud, or at least cloud-agnostic. Propelled by Red Hat OpenShift, IBM carved out such a strategy for this managed Kubernetes environment where you could deploy open source software yourself on the hardware or public cloud of your choice or choose IBM to run a managed OpenShift service for you in the IBM Cloud. That is now getting repeated with Cloud Pak for Data.
'AI can make the world better, safer, healthier, with more social innovations, not just for a few of us, but for ALL OF US!' Amazing Mark Minevich, President of Going Global Ventures and one of the biggest AI enthusiasts we ever met, gave a great talk to our virtual audience at Wonderland AI Summit 2020. If you missed Mark's presentation, here is a chance to find out how the future and society look like from Mark's perspective.
It will take some time before we can carelessly read the newspaper in the back seat of our self-driving car. Nevertheless, the automotive industry is working hard to push the limits in the development of vehicles with higher levels of autonomy. One of the major challenges the industry is facing is how to test an automated driving system. They also need to validate that autonomous vehicles are safe enough to be released on the public road. The verification and validation (V&V) process of automated driving systems is a challenging task, requiring a complex setup of tests.
Artificial Intelligence and Machine Learning are the two trending technologies managing the current market place. These two can change how organizations work and people interact with one another to perform complex tasks. However, the issues that AI solves are difficult and to work in the AI industry you will require a solid and focused set of skills. Before we go to realize the precise skills needed to progress into AI. Let's see how businesses are receiving this innovation to perform the different assignments in a better and simple way. Let's have a look at the Adoption of this technology in the industries Things considered, as the tide of AI and ML keeps on creating.
Gatik, a startup developing an autonomous vehicle stack for B2B short-haul logistics, today closed a $22.5 million series A financing round. The company also announced it will bring a fleet of self-driving vans to Canada as part of a deal with Loblaw, the country's largest retailer with over 200,000 employees. Some experts predict the pandemic will hasten the adoption of autonomous vehicles for delivery. Self-driving cars, vans, and trucks promise to minimize the risk of spreading disease because they inherently limit driver contact. This is particularly true with regard to short-haul freight, which is experiencing a spike in volume during the outbreak.
It is one of several efforts in the industry to improve the usefulness of robots in warehouses, where they are increasingly common. The platform is currently online at one location near Madrid, where it has already reduced integration time for new robot systems by 60%, said Markus Voss, DHL Supply Chain's global chief information officer and chief operating officer. "We're at the beginning of the journey," Mr. Voss said. "We are implementing it as we speak at two additional sites, and we think it has applicability across all of our sites." The Morning Download delivers daily insights and news on business technology from the CIO Journal team.
Google Assistant already works with Hue and other smart lights, but functionality has been limited to turning them on and off, using them with alarms and a few other features. Now, you can schedule lights and other electric devices to turn on and off at specific and even general times, as Android Police and Reddit users have noted. The feature works via Google's "Scheduled Actions" feature. That allows you to say "Hey Google, turn on the lights at 7 AM," for example. You can set times for the current day or any other day over the next week by saying "Hey Google, turn on my coffee maker at 8 AM tomorrow," or "run my sprinkler in a week at 5 PM," for example.